Overview

The curriculum is designed to propel your engineering or data science career forward, allowing you to choose the path that’s right for you, be that a role as a data scientist, a machine learning engineer, or a computational statistician.

With hands-on projects, you’ll build a portfolio to showcase your new skills in everything from probabilistic modeling, deep learning, unstructured data processing and anomaly detection. You will not only build a strong foundation in Mathematics and Statistics, giving you confidence in your analytical skills, but you will also acquire expertise in implementing scalable machine learning solutions using industry-standard tools such as PySpark, ensuring that no data is too big or too complex for you.

You will also have the opportunity to broaden your horizons through one of the first of its kind study of ethical issues posed by machine learning. You will graduate with an ability to go beyond the algorithms and turn data into actionable insights, contribute to strategic decision making in your organisation and become a responsible member of this rapidly growing profession.

Career Outcomes

This Machine Learning and Data Science course offered by Coursera in partnership with Imperial College London prepares students to move their engineering or data science career forward across a wide variety of roles, such as a data scientist, machine learning engineer, or computational statistician. Students will be trained to become deep thinkers, going beyond algorithms to turn data into actionable insights, contribute to strategic decision making, and become responsible, ethical members of this rapidly growing profession.

Programme Structure

Courses include:

Ethics in Data Science and Artificial Intelligence

Programming for Data Science

Applicable Maths

Exploratory Data Analytics and Visualisation

Supervised Learning

Big Data: Statistical scalability with PySpark

Bayesian Methods

Key information

Duration

Part-time
- 24 months
- 21 hrs/week

Start dates & application deadlines

Starting 2027-09-01 00:00:00
- Apply before 2027-03-27 00:00:00

Language

English

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Delivered

Online

Self-paced

Campus Location

Mountain View, United States

Disciplines

Data Science & Big Data Machine Learning View 192 other Masters in Data Science & Big Data in United States

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Academic requirements

GPA

Upper Second Class

English requirements

TOEFL^® IBT

Schedule TOEFL®

IELTS

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

17850 GBP / year

≈ 17850 GBP / year
Out-of-State

17850 GBP / year

≈ 17850 GBP / year

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find Master's scholarship opportunities for Machine Learning and Data Science.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

On this page

About

Overview

Career Outcomes

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Funding

Scholarships Information

Available Scholarships

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